{"id":"W606180550","doi":"","title":"HLT-NAACL 2003 : Human Language Technology conference of the North American Chapter of the Association for Computational Linguistics: companion volume : short parers, student research workshop, demonstrations, tutorial abstracts : May 27 to June 1, 2003, Edmonton, Alberta, Canada","year":2003,"lang":"en","type":"book","venue":"Association for Computational Linguistics eBooks","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Association (psychology); Library science; Computational linguistics; Computer science; Linguistics; Psychology; Artificial intelligence; Philosophy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006912409,0.001768964,0.002859367,0.001689989,0.002086107,0.009845867,0.003171909,0.002372999,0.110554],"category_scores_gemma":[0.008419193,0.001159764,0.0008656812,0.00223225,0.001684281,0.007998725,0.003395989,0.004842316,0.1078789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002539912,"about_ca_system_score_gemma":0.009963827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261292,"about_ca_topic_score_gemma":0.03982294,"domain_scores_codex":[0.9978898,0.0006134768,0.0001776394,0.0003848003,0.0008038532,0.0001304802],"domain_scores_gemma":[0.9921315,0.001922637,0.0001749674,0.0007787725,0.003978941,0.001013255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005322686,0.00004091914,0.00009273806,0.0001981081,0.000008172979,0.00002743275,0.0001237972,0.0001416762,0.0006781546,0.002376676,0.9287482,0.06751084],"study_design_scores_gemma":[0.00004740982,0.00003673602,0.0005206906,0.0003041232,0.00003015573,0.0001434892,0.0002290794,0.002422954,0.001288572,0.005765367,0.9891712,0.00004023067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00700731,0.05795234,0.3669044,0.04954398,0.06351843,0.002127713,0.04677085,0.06422198,0.341953],"genre_scores_gemma":[0.01242647,0.02844619,0.1229525,0.007736382,0.004370856,0.001700651,0.07001567,0.01244198,0.7399094],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9738708,"threshold_uncertainty_score":0.3698401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931232966589884,"score_gpt":0.3240502664602259,"score_spread":0.2947379367943271,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}